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Methodological recommendations for human microbiota-gut-brain axis research.

Yangwenshan Ou^1,2, Clara Belzer¹, Hauke Smidt¹

¹Laboratory of Microbiology, Wageningen University & Research, P.O. Box 8033, 6700 EH Wageningen, The Netherlands.

Microbiome Research Reports

|March 8, 2024

Summary

Establishing causal links between gut microbes and mental health is challenging due to inconsistent findings. This review offers methodological recommendations for future microbiota-gut-brain axis research to improve consistency and causal inference.

Keywords:

Microbiota-gut-brain axis causation confounders correlation gut microbiota mental development and health statistical analyses

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Area of Science:

Microbiology
Neuroscience
Psychiatry

Background:

Observational studies show correlations between gut microbiota and mental traits, but findings are inconsistent.
This inconsistency hinders mechanistic validation and establishing causal relationships.
Lack of clear guidelines for confounder identification and analysis of complex microbial communities contributes to the problem.

Purpose of the Study:

To provide methodological recommendations for human microbiota-gut-brain axis research.
To address inconsistencies in study findings and improve causal inference.
To guide the selection of confounders and the use of integrative biostatistical methods.

Main Methods:

Review of existing literature on microbiota-gut-brain axis research.
Analysis of challenges in identifying confounders and analyzing complex microbial data.
Development of recommendations for future research methodologies.

Main Results:

Identified key challenges in current microbiota-gut-brain axis research, including inconsistent findings and lack of standardized methods.
Proposed guidelines for selecting confounders relevant to microbiota-host-mental health interactions.
Recommended the use of integrative biostatistical approaches for analyzing complex microbial community data.

Conclusions:

Standardized methodologies are crucial for advancing microbiota-gut-brain axis research.
Clear guidelines for confounder selection and advanced statistical methods can enhance the reliability of findings.
Future research should focus on translating correlative findings into causal conclusions through robust study designs.